Integrated feature selection and parameter optimization for evolving spiking neural networks using quantum inspired particle swarm optimization

SoCPaR 2009 - Soft Computing and Pattern Recognition

Volumn , Issue , 2009, Pages 695-698

  Hamed, Haza Nuzly Abdull ^a   Kasabov, Nikola ^a   Shamsuddin, Siti Mariyam ^b  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

^b UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Evolving spiking neural network; Feature optimization; Parameter optimization; Particle swarm; Quantum computing

Indexed keywords

BINARY STRUCTURES; DATA SETS; FEATURE SELECTION; NOVEL METHODS; OPTIMIZATION PARAMETER; PARAMETER OPTIMIZATION; PARTICLE SWARM; QUANTUM COMPUTING; SPIKING NEURAL NETWORKS; WRAPPER APPROACH;

INTELLIGENT AGENTS; PARTICLE SWARM OPTIMIZATION (PSO); PATTERN RECOGNITION; QUANTUM COMPUTERS; QUANTUM THEORY; SOFT COMPUTING; STRUCTURAL OPTIMIZATION;

NEURAL NETWORKS;

EID: 77649285557     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SoCPaR.2009.139     Document Type: Conference Paper

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